Social Network Analysis for TEST

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.3649
Component Count	4.0000
Connectedness, Krackhardt	0.8381
Count, Edge	147.0000
Count, Column	36.0000
Count, Row	36.0000
Density	0.1167
Efficiency, Krackhardt	0.8810
Hierarchy, Krackhardt	0.1714
Isolate Count	3.0000
Reciprocity	0.6154
Upperboundedness, Krackhardt	0.9940

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.1713	0.0346	0.0444
Centrality, Eigenvector	0.0000	0.0878	0.0278	0.0229
Centrality, Information	0.0000	0.0469	0.0278	0.0121
[unscaled]	0.0000	2.1709	1.2860	0.5619
Centrality, Total Degree	0.0000	0.4000	0.1167	0.0935
[unscaled]	0.0000	28.0000	8.1667	6.5468
Clique Count	0.0000	17.0000	3.1667	3.4681
Clustering Coefficient, Watts-Strogatz	0.0000	1.0000	0.3649	0.2960
Simmelian Ties	0.0000	0.2857	0.0571	0.0747
[unscaled]	0.0000	10.0000	2.0000	2.6141

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	2.5427
Clustering Coefficient, Watts-Strogatz	0.3980

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0014	0.0878	0.0303	0.0222
Clustering Coefficient, Watts-Strogatz	0.0000	1.0000	0.3980	0.2871